BCI: Principles and practice, 2012. ,
Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke, Proc. IEEE, 2015. ,
DOI : 10.1109/JPROC.2015.2415800
Could Anyone Use a BCI?, Braincomputer interfaces, pp.35-54, 2010. ,
DOI : 10.1007/978-1-84996-272-8_3
Neurofeedback Training for BCI Control, Brain-Computer Interfaces, pp.65-78, 2009. ,
DOI : 10.1007/978-3-642-02091-9_4
Brain?computer interfaces for communication and control, Clinical neurophysiology, vol.113, issue.6, pp.767-791, 2002. ,
Towards improved BCI based on human learning principles, The 3rd International Winter Conference on Brain-Computer Interface, pp.1-4, 2015. ,
DOI : 10.1109/IWW-BCI.2015.7073024
URL : https://hal.archives-ouvertes.fr/hal-01111843
Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns, PLOS ONE, vol.25, issue.1, p.143962, 2015. ,
DOI : 10.1371/journal.pone.0143962.g008
URL : https://hal.archives-ouvertes.fr/hal-01177685
MENTAL ROTATIONS, A GROUP TEST OF THREE-DIMENSIONAL SPATIAL VISUALIZATION, Perceptual and Motor Skills, vol.47, issue.2, pp.599-604, 1978. ,
DOI : 10.1126/science.183.4122.338
Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study, Journal of Neural Engineering, vol.13, issue.3, 2016. ,
DOI : 10.1088/1741-2560/13/3/036024
URL : https://hal.archives-ouvertes.fr/hal-01302154
Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually, PLoS ONE, vol.127, issue.9, p.76214, 2013. ,
DOI : 10.1371/journal.pone.0076214.t002
Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design, Frontiers in Human Neurosciences, 2013. ,
DOI : 10.3389/fnhum.2013.00568
URL : https://hal.archives-ouvertes.fr/hal-00862716
Optimal spatial filtering of single trial EEG during imagined hand movement, IEEE Transactions on Rehabilitation Engineering, vol.8, issue.4, pp.441-446, 2000. ,
DOI : 10.1109/86.895946
Learning from other subjects helps reducing Brain-Computer Interface calibration time, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010. ,
DOI : 10.1109/ICASSP.2010.5495183
URL : https://hal.archives-ouvertes.fr/inria-00441670
OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain???Computer Interfaces in Real and Virtual Environments, Presence: Teleoperators and Virtual Environments, vol.2008, issue.3, pp.35-53, 2010. ,
DOI : 10.1016/j.patrec.2007.10.009
URL : https://hal.archives-ouvertes.fr/hal-00477153